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| Section | Objectives |
|---|---|
| Planning Application Overview & Architecture | - Oracle EPM Planning Cloud architecture
|
| Module-Based Planning Applications | - Planning modules
|
| Forms, Dashboards, and Navigation | - Planning UI configuration
|
| Workflow and Approvals | - Planning workflow management
|
| Reporting and Analytics | - Reporting tools
|
| AI and Intelligent Performance Management (IPM) | - AI-driven planning capabilities
|
| Business Rules and Calculations | - Calculation framework
|
| Dimensions and Security Management | - Security model
|
| Metadata and Data Integration | - Data and metadata loading
|
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NEW QUESTION # 74
Which two types of Groovy Rules are supported by Oracle?
Answer: C,D
Explanation:
In Oracle Planning 2024, Groovy Rules enhance business logic flexibility. Oracle supports two main types of Groovy Rules:
A . Rules that overwrite member formulas that combine operators and calculation functions, and perform calculations on members in Dimension Editor: Incorrect. Groovy Rules do not overwrite member formulas in the Dimension Editor; they operate at runtime and are defined in the Rules editor, not as static dimension overrides.
B . Rules that can dynamically generate calculation scripts at run time based on contexts such as runtime prompts, the POV, the current grid, and so on: Correct. Oracle supports Groovy Rules that generate dynamic calc scripts based on runtime contexts (e.g., POV, grid data, prompts), enabling adaptive calculations.
C . Pure Groovy rules that can perform data validations and cancel the operation if the data entered violates company policies: Correct. Pure Groovy Rules can validate data (e.g., checking ranges or policies) and cancel operations (e.g., via exceptions), a key feature for enforcing business rules.
D . Rules that dynamically calculate data and perform validation checks in tile charts and infolets: Incorrect. Groovy Rules operate on cubes and forms, not directly within tile charts or infolets, which are UI elements driven by underlying data, not rule execution points.
The Oracle documentation confirms B (dynamic script generation) and C (data validation) as supported Groovy Rule types, making them the correct answers.
Oracle Planning 2024 Implementation Study Guide: "Groovy Rules in Planning" (docs.oracle.com, Published 2024-10-15).
Oracle EPM Cloud Documentation: "Supported Groovy Rule Types" (docs.oracle.com, Published 2023-11-20, updated for 2024).
NEW QUESTION # 75
As an Identify domain administrator, you can manage users in Oracle Identity Management and assign predefined roles to users while creating them. When a user has access to Cloud EPM Planning, Service Administrators can grant roles to many users at the same time. Which two statements are true about user and group security?
Answer: C,D
NEW QUESTION # 76
With Machine Learning, which type of prediction would you define to predict using the same dimension, measure, and slice of data?
Answer: B
NEW QUESTION # 77
After loading data from external systems, you can quickly perform task that can add or update existing employee and job data using Mass Update forms. Which two actions can you take on the Mass Update forms in Workforce?
Answer: B,C
NEW QUESTION # 78
Which two can be used to push data between cubes?
Answer: B,D
Explanation:
In Oracle Planning 2024, pushing data between cubes (e.g., from one cube to another within the same application) can be accomplished using specific tools. The two methods that facilitate this are:
A . Data Integration: Incorrect. Data Integration is used to import data from external sources (e.g., files, other systems) into Planning, not to push data between cubes within the same application.
B . Data Maps: Correct. Data Maps allow you to define mappings and push data between cubes (or applications) using Smart Push or manual execution. This is a primary method for intra-application data movement.
C . Copy Data: Correct. The Copy Data feature enables administrators to copy data from one cube to another within the same Planning application, specifying dimensions and members to transfer.
D . Import Data: Incorrect. Import Data is designed to bring external data into a cube from a file, not to push data between existing cubes.
Both Data Maps (with Smart Push for real-time updates) and Copy Data (for batch-style transfers) are explicitly supported for moving data between cubes, as per Oracle's documentation, making B and C the correct answers.
Oracle Planning 2024 Implementation Study Guide: "Moving Data Between Cubes" (docs.oracle.com, Published 2024-09-05).
Oracle EPM Cloud Documentation: "Data Maps and Copy Data Features" (docs.oracle.com, Published 2023-12-25, updated for 2024).
NEW QUESTION # 79
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